MATH-1520 Mathematical Methods in Management and Economics, Spring 2009

MATH-1520 Mathematical Methods in Management and Economics, Spring 2009, Course Web Page

This page will be updated throughout the semester with information about the course.

Instructor: B. Piper, 518-276-6892, Amos Eaton 309, piperb@rpi.edu.
Office Hours No office hours on 3/16

Teaching Assistant: John Durst, Amos Eaton 317, durstj@rpi.edu.
Office Hours: 3-5pm on Wednesdays and from 12:30-2pm on Thursdays

Exam 3 is Thursday, April 23 and Friday, April 24th. For Thursday, study Labs 5 and 6 and for Friday, study the questions listed at the end of labs 5 and 6 and the clicker questions from March 27th, April 3rd and April 17th.

iClicker Questions and Answers (pdf) Use these and the labs (including the book problems listed at the end of the labs) to study for the exams.

Labs

Lab 1 Due date extended to, Tuesday, 1-27-2009.
Lab 2 Due date, Tuesday, 2-3-2009. n
Lab 3 Due date, Tuesday, 2-10-2009
Practice Lab This is additional practice for exam 1. You do not hand in this lab, but you will work on it Thursday, February 12th in recitation.
Lab 4 Due Date, Tuesday, 3-03-2009.
Practice Lab This is additional practice for exam 2. You do not hand in this lab, but you will work on it Thursday, March 19th in recitation.
Lab 5 Due Date, Friday, 4-17-2009.
Lab 6 Due Date, Tuesday, 4-21-2009.

Schedule (Updated 2/02/09) This has exam dates.

Maple in Lectures

Maple Done in Lecture 1-20 On some browsers, you may need to right click to "Save Link As" to download...
Maple Done in Lecture 1-23
Maple Done in Lecture 1-27
Maple Done in Lecture 2-03
Maple Done in Lecture 3-17

Opening Day Handout (pdf)

Solutions1.doc Solutions to Practice Problems for Exam 1

Prerequisites: MATH 1010 or MATH 1500 and major in Management or Economics.

Functions of several variables, introductory linear algebra, and other analytical techniques needed for further study in probability, statistics, and operations research. Topics covered include improper integrals, probability density functions, partial derivatives and optimization techniques for functions of several variables, matrix algebra, linear systems, lines and planes in 3-space, linear inequalities, introductory linear programming, introductory combinatorics, and some probability.